The International Conference on Preconditioning Techniques for Scientific and Industrial Applications,
Preconditioning 2013, is the eighth in a series of conferences that focus on preconditioning techniques in sparse matrix computation.
Past Preconditioning Conferences were:
- Esmond G. Ng, Lawrence Berkeley National Laboratory, USA
- Yousef Saad, The University of Minnesota, USA
- Wei-Pai Tang, The Boeing Company, USA
- Andy Wathen, University of Oxford, UK
Local Organization (Mathematical Institute, University of Oxford)
General information for conference delegates
Click here to download a brief general information page.
Click here for the programme.
- 19-21 June 2013. Please note that this is the week before the 25th Biennial Numerical Analysis Conference at the University of Strathclyde in Glasgow.
- Preconditioning 1999, The University of Minnesota, Minneapolis, June 10-12 1999.
- Preconditioning 2001, The Granlibakken Conference Center, Tahoe City, April 29 - May 1, 2001.
- Preconditioning 2003, Embassy Suites Napa Valley, Napa, October 27-29, 2003.
- Preconditioning 2005, Emory University, Atlanta, May 19-21, 2005.
- Preconditioning 2007, Météopole, Toulouse, France, July 9-12, 2007.
- Preconditioning 2009, Hong-Kong Baptist University, Hong-Kong, August 24-26, 2009.
- Preconditioning 2011, Domaine du Haut-Carré, Bordeaux, France, May 16-18, 2011.
The goal of this series of conferences is to address the complex issues related to the solution of general sparse matrix problems in large-scale
real applications and in industrial settings. The issues related to sparse matrix software that are of interest to application scientists and
industrial users are often fairly different from those on which the academic community is focused. For example, for an application scientist or an industrial user,
improving robustness may be far more important than finding a method that would gain speed. Memory usage is also an important consideration, but is
seldom accounted for in academic research on sparse matrix solvers. As a last example, linear systems solved in applications are
almost always part of some nonlinear iteration (e.g., Newton) or optimization loop. It is important to consider the coupling between the linear and nonlinear parts,
instead of focusing on the linear systems alone.
The speakers of this conference will discuss some of the latest developments in the field of preconditioning techniques
for sparse matrix problems. The conference will allow participants to exchange findings in this area and to explore
possible new directions in light of emerging paradigms, such as parallel processing and object-oriented programming.
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